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ik_llama.cpp/github-data/pull_requests/422 - Adding IQ5_KS - 5.25 bpw quants.md
Thomas eaa2510a28 Add GitHub data: filename sanitization (#640)
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🔀 #422 - Adding IQ5_KS - 5.25 bpw quants

Author ikawrakow
State ❌ Closed
Created 2025-05-15
Updated 2025-05-18

Description

For motivation, see the CUDA performance graphs in #417 and #418.

Implementation for AVX2, Zen4, ARM_NEON, CUDA, Metal.

The AVX2 implementation suffers from int16_t overflow, and so do the IQ4_K, IQ5_K, IQ6_K and IQ4_KS, so I will have to fix all of these in a follow up PR.

I also want to add interleaved variant IQ5_KS_R4 before giving more performance and accuracy details.

💬 Conversation

👤 ubergarm commented the 2025-05-18 at 21:18:35:

Just did some testing of a mixed IQ5_KS / IQ4_KS quant of Qwen3-14B dense showing some Perplexity and Speed comparisons for full CUDA offload in this new quant cookers guide.

Thanks for adding, the quality looks really good for the size!